Gymnasium: An API standard for reinforcement learning

2 weeks ago 1

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An API standard for reinforcement learning with a diverse collection of reference environments

Gymnasium is a maintained fork of OpenAI’s Gym library. The Gymnasium interface is simple, pythonic, and capable of representing general RL problems, and has a migration guide for old Gym environments:

import gymnasium as gym # Initialise the environment env = gym.make("LunarLander-v3", render_mode="human") # Reset the environment to generate the first observation observation, info = env.reset(seed=42) for _ in range(1000): # this is where you would insert your policy action = env.action_space.sample() # step (transition) through the environment with the action # receiving the next observation, reward and if the episode has terminated or truncated observation, reward, terminated, truncated, info = env.step(action) # If the episode has ended then we can reset to start a new episode if terminated or truncated: observation, info = env.reset() env.close()

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